SR. DATA SCIENCE ENGINEER SPEC-DATA SCIENTIST

Concurrent Technologies Corporation•Johnstown, PA

6d•Hybrid

About The Position

Concurrent Technologies Corporation (CTC) an independent, nonprofit applied scientific research and development organization. Is seeking a Sr. Data Science Engineer Spec-Data Scientist, you'll be part of the internal Information Technology team that keeps CTC's business operations running efficiently. Supporting employees across the organization, you'll contribute to a collaborative, customer-focused environment where technology enables engineers, researchers, and business professionals to accomplish their mission. CTC values teamwork, innovation, continuous learning, and exceptional customer service, providing opportunities to expand your technical skills while building a rewarding career with an organization dedicated to making a meaningful impact.

Requirements

Bachelor's or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, or Economics.
3–5 years of hands-on experience in a Data Scientist or Senior Data Analyst role.
Programming: Strong proficiency in Python (including libraries like Pandas, NumPy, and Scikit-learn), SQL, and PySpark.
Statistics and ML: Solid understanding of statistical analysis, data mining techniques, and machine learning algorithms (e.g., classification, regression, clustering, and decision trees).
Communication: Excellent verbal and written communication skills with the ability to tell a story with data.
Problem-Solving: Proven ability to approach complex problems with a structured, analytical, and inquisitive mindset.

Nice To Haves

Experience with cloud-based data platforms (e.g., AWS, Azure, GCP).
Experience with big data technologies (e.g., Spark, Hadoop).
Experience with data visualization and analysis tools (e.g., Tableau, Power BI, Matplotlib, R, SAS).
Experience with natural language processing (NLP) or other forms of text analysis.
Knowledge of experimental design and causal inference techniques.
Experience in research & development, government contracting, and/or highly regulated industry domains.

Responsibilities

Collaborate with business leaders to identify high-impact business problems and translate them into data science and data analysis projects.
Collect, process, and analyze complex datasets from various sources to identify trends, patterns, and insights that inform business strategy.
Develop and implement predictive models and machine learning algorithms to solve business problems, such as forecasting, customer segmentation, and optimization.
Develop and maintain detailed, compelling dashboards and reports for both technical and non-technical audiences using business intelligence (BI) tools.
Perform exploratory data analysis (EDA) and statistical analysis to uncover patterns, trends, and anomalies.
Create clear, compelling, and actionable data visualizations and reports to communicate complex findings to both technical and non-technical audiences.
Design and execute A/B tests and other experiments to measure the impact of different initiatives.
Work with data engineers to build and improve data pipelines, ensuring data quality and accessibility.